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---
dataset_info:
features:
- name: code
dtype: string
- name: language
dtype: string
- name: AST_depth
dtype: int64
- name: alphanumeric_fraction
dtype: float64
- name: max_line_length
dtype: int64
- name: avg_line_length
dtype: float64
- name: num_lines
dtype: int64
- name: task
dtype: string
- name: source
dtype: string
splits:
- name: train
num_bytes: 2488204589.0
num_examples: 1168530
download_size: 1135624071
dataset_size: 2488204589.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
This dataset contains deduplicated data from [TACO](https://huggingface.co/datasets/BAAI/TACO) dataset, and additional 107k CodeForces solutions in Python, Java, C++ from [this link](https://www.kaggle.com/datasets/yeoyunsianggeremie/codeforces-code-dataset).
Filtering strategy:
- **AST parsability**: we extracted only the AST parsable codes
- **AST Depth**: only samples with depth from 2.0 to 31.0
- **Maximum Line Length**: only samples with maximum of 12.0 to 400.0 characters
- **Average Line Length**: only samples with 5.0 to 140.0 characters on average
- **Alphanumeric Fraction** of samples is greater than 0.2
- **Number of Lines**: from 6.0 to 300.0 |